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Tweeting Biology for Better Data and Better Connections

Abstract

Yue Zhang

The challenge lying ahead is how to exact information efficiently during data mining and computation modeling for our body but systematic network intrinsically having both biological elements and social features for data -sharing is lacking. Revealed by a critical analysis of published information from the principal investigators (PIs) in one typical institute, an unexpected trend, the shrink of “monopoly” status of authority PI and an increase of democratic one, inspires us to propose that re-screenings of impact genes crossing institute PIs’ foci may set up “nodes” contributing to biological and social networks. By sharing, this could maximize the potential of some valuable reagents, incentivize institute to address ethical and intellectual property (IP) issues, help detect irreproducibility, and accelerate novel discoveries.

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